Overview

Dataset statistics

Number of variables7
Number of observations581
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.5 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description울산광역시 동구 담배 소매인 지정현황에 대한 데이터로 연번, 업소명, 지번주소/도로명주소, 담당부서 등이 기재 되어있습니다
Author울산광역시 동구
URLhttps://www.data.go.kr/data/15035501/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
연번 is highly overall correlated with 소매인구분High correlation
소매인구분 is highly overall correlated with 연번High correlation

Reproduction

Analysis started2024-03-14 22:50:27.560179
Analysis finished2024-03-14 22:50:28.869674
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct571
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.90534
Minimum1
Maximum571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-03-15T07:50:29.188444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30
Q1146
median291
Q3436
95-th percentile552
Maximum571
Range570
Interquartile range (IQR)290

Descriptive statistics

Standard deviation167.70427
Coefficient of variation (CV)0.57649089
Kurtosis-1.204102
Mean290.90534
Median Absolute Deviation (MAD)145
Skewness-0.0031654797
Sum169016
Variance28124.724
MonotonicityIncreasing
2024-03-15T07:50:29.722670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
571 11
 
1.9%
1 1
 
0.2%
384 1
 
0.2%
378 1
 
0.2%
379 1
 
0.2%
380 1
 
0.2%
381 1
 
0.2%
382 1
 
0.2%
383 1
 
0.2%
385 1
 
0.2%
Other values (561) 561
96.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
571 11
1.9%
570 1
 
0.2%
569 1
 
0.2%
568 1
 
0.2%
567 1
 
0.2%
566 1
 
0.2%
565 1
 
0.2%
564 1
 
0.2%
563 1
 
0.2%
562 1
 
0.2%

소매인구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
제7조의3제2항에따른경우
310 
219 
제7조의3제3항에따른경우
52 

Length

Max length13
Median length13
Mean length8.4767642
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 310
53.4%
219
37.7%
제7조의3제3항에따른경우 52
 
9.0%

Length

2024-03-15T07:50:30.119964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:50:30.652940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 310
85.6%
제7조의3제3항에따른경우 52
 
14.4%

업소명
Text

Distinct541
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-15T07:50:32.496662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length7.4784854
Min length1

Characters and Unicode

Total characters4345
Distinct characters392
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)88.8%

Sample

1st row씨유화정쟈스민점
2nd row지에스(GS)25방어스페셜점
3rd row제이제이할인마트
4th rowGS25 일산샤인점
5th row씨유 전하아이파크점
ValueCountFrequency (%)
씨유 33
 
4.0%
세븐일레븐 31
 
3.8%
이마트24 25
 
3.1%
지에스25 11
 
1.3%
지에스(gs)25 11
 
1.3%
주)현대그린푸드 8
 
1.0%
라한호텔 7
 
0.9%
gs25 7
 
0.9%
현대미포조선 7
 
0.9%
울산지점 6
 
0.7%
Other values (582) 670
82.1%
2024-03-15T07:50:34.304437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
5.7%
점 212
 
4.9%
마 153
 
3.5%
트 141
 
3.2%
산 140
 
3.2%
울 113
 
2.6%
스 89
 
2.0%
퍼 85
 
2.0%
2 84
 
1.9%
슈 84
 
1.9%
Other values (382) 2997
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3683
84.8%
Space Separator 247
 
5.7%
Decimal Number 173
 
4.0%
Uppercase Letter 136
 
3.1%
Close Punctuation 47
 
1.1%
Open Punctuation 46
 
1.1%
Lowercase Letter 11
 
0.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 212
 
5.8%
마 153
 
4.2%
트 141
 
3.8%
산 140
 
3.8%
울 113
 
3.1%
스 89
 
2.4%
퍼 85
 
2.3%
슈 84
 
2.3%
대 82
 
2.2%
일 68
 
1.8%
Other values (340) 2516
68.3%
Uppercase Letter
ValueCountFrequency (%)
S 38
27.9%
G 33
24.3%
H 9
 
6.6%
C 8
 
5.9%
E 7
 
5.1%
R 6
 
4.4%
M 4
 
2.9%
N 3
 
2.2%
U 3
 
2.2%
L 3
 
2.2%
Other values (13) 22
16.2%
Decimal Number
ValueCountFrequency (%)
2 84
48.6%
5 44
25.4%
4 36
20.8%
1 5
 
2.9%
6 2
 
1.2%
3 1
 
0.6%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
u 2
18.2%
s 2
18.2%
c 2
18.2%
o 2
18.2%
e 1
9.1%
t 1
9.1%
i 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3683
84.8%
Common 515
 
11.9%
Latin 147
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 212
 
5.8%
마 153
 
4.2%
트 141
 
3.8%
산 140
 
3.8%
울 113
 
3.1%
스 89
 
2.4%
퍼 85
 
2.3%
슈 84
 
2.3%
대 82
 
2.2%
일 68
 
1.8%
Other values (340) 2516
68.3%
Latin
ValueCountFrequency (%)
S 38
25.9%
G 33
22.4%
H 9
 
6.1%
C 8
 
5.4%
E 7
 
4.8%
R 6
 
4.1%
M 4
 
2.7%
N 3
 
2.0%
U 3
 
2.0%
L 3
 
2.0%
Other values (20) 33
22.4%
Common
ValueCountFrequency (%)
247
48.0%
2 84
 
16.3%
) 47
 
9.1%
( 46
 
8.9%
5 44
 
8.5%
4 36
 
7.0%
1 5
 
1.0%
6 2
 
0.4%
& 1
 
0.2%
3 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3683
84.8%
ASCII 662
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
37.3%
2 84
 
12.7%
) 47
 
7.1%
( 46
 
6.9%
5 44
 
6.6%
S 38
 
5.7%
4 36
 
5.4%
G 33
 
5.0%
H 9
 
1.4%
C 8
 
1.2%
Other values (32) 70
 
10.6%
Hangul
ValueCountFrequency (%)
점 212
 
5.8%
마 153
 
4.2%
트 141
 
3.8%
산 140
 
3.8%
울 113
 
3.1%
스 89
 
2.4%
퍼 85
 
2.3%
슈 84
 
2.3%
대 82
 
2.2%
일 68
 
1.8%
Other values (340) 2516
68.3%

업소지번주소
Text

Distinct485
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-15T07:50:35.197612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length20.655766
Min length1

Characters and Unicode

Total characters12001
Distinct characters192
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique462 ?
Unique (%)79.5%

Sample

1st row울산광역시 동구 화정동 855-20
2nd row울산광역시 동구 방어동 1005-8
3rd row울산광역시 동구 방어동 473-1
4th row울산광역시 동구 일산동 975-1
5th row울산광역시 동구 전하동 640-1 전하I'PARK
ValueCountFrequency (%)
울산광역시 525
20.7%
동구 524
20.7%
방어동 153
 
6.0%
화정동 117
 
4.6%
전하동 87
 
3.4%
일산동 56
 
2.2%
서부동 51
 
2.0%
1호 48
 
1.9%
호 45
 
1.8%
동부동 30
 
1.2%
Other values (607) 900
35.5%
2024-03-15T07:50:36.201346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2576
21.5%
동 1088
 
9.1%
산 598
 
5.0%
1 543
 
4.5%
울 532
 
4.4%
구 530
 
4.4%
시 528
 
4.4%
광 526
 
4.4%
역 525
 
4.4%
호 387
 
3.2%
Other values (182) 4168
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6794
56.6%
Space Separator 2576
 
21.5%
Decimal Number 2361
 
19.7%
Dash Punctuation 224
 
1.9%
Uppercase Letter 22
 
0.2%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Other Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1088
16.0%
산 598
 
8.8%
울 532
 
7.8%
구 530
 
7.8%
시 528
 
7.8%
광 526
 
7.7%
역 525
 
7.7%
호 387
 
5.7%
지 263
 
3.9%
번 250
 
3.7%
Other values (153) 1567
23.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
22.7%
N 4
18.2%
A 3
13.6%
C 2
 
9.1%
P 2
 
9.1%
I 1
 
4.5%
T 1
 
4.5%
L 1
 
4.5%
F 1
 
4.5%
K 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 543
23.0%
6 250
10.6%
5 235
10.0%
3 221
9.4%
2 216
 
9.1%
4 210
 
8.9%
0 185
 
7.8%
9 179
 
7.6%
7 163
 
6.9%
8 159
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 2
40.0%
@ 2
40.0%
' 1
20.0%
Space Separator
ValueCountFrequency (%)
2576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6793
56.6%
Common 5185
43.2%
Latin 22
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1088
16.0%
산 598
 
8.8%
울 532
 
7.8%
구 530
 
7.8%
시 528
 
7.8%
광 526
 
7.7%
역 525
 
7.7%
호 387
 
5.7%
지 263
 
3.9%
번 250
 
3.7%
Other values (152) 1566
23.1%
Common
ValueCountFrequency (%)
2576
49.7%
1 543
 
10.5%
6 250
 
4.8%
5 235
 
4.5%
- 224
 
4.3%
3 221
 
4.3%
2 216
 
4.2%
4 210
 
4.1%
0 185
 
3.6%
9 179
 
3.5%
Other values (8) 346
 
6.7%
Latin
ValueCountFrequency (%)
B 5
22.7%
N 4
18.2%
A 3
13.6%
C 2
 
9.1%
P 2
 
9.1%
I 1
 
4.5%
T 1
 
4.5%
L 1
 
4.5%
F 1
 
4.5%
K 1
 
4.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6793
56.6%
ASCII 5207
43.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2576
49.5%
1 543
 
10.4%
6 250
 
4.8%
5 235
 
4.5%
- 224
 
4.3%
3 221
 
4.2%
2 216
 
4.1%
4 210
 
4.0%
0 185
 
3.6%
9 179
 
3.4%
Other values (19) 368
 
7.1%
Hangul
ValueCountFrequency (%)
동 1088
16.0%
산 598
 
8.8%
울 532
 
7.8%
구 530
 
7.8%
시 528
 
7.8%
광 526
 
7.7%
역 525
 
7.7%
호 387
 
5.7%
지 263
 
3.9%
번 250
 
3.7%
Other values (152) 1566
23.1%
CJK
ValueCountFrequency (%)
內 1
100.0%

업소도로명주소
Text

Distinct434
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-15T07:50:37.242458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length20.772806
Min length1

Characters and Unicode

Total characters12069
Distinct characters220
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique428 ?
Unique (%)73.7%

Sample

1st row울산광역시 동구 양지5길 2 (화정동)
2nd row울산광역시 동구 문현로 84. 1층 (방어동)
3rd row울산광역시 동구 화진4가길 20. 1층 (방어동)
4th row울산광역시 동구 해수욕장10길 54 (일산동)
5th row울산광역시 동구 봉수로 270. 제지4층 제101호 (전하동. 전하I'PARK)
ValueCountFrequency (%)
울산광역시 441
17.4%
동구 441
17.4%
방어동 143
 
5.7%
1층 97
 
3.8%
화정동 91
 
3.6%
전하동 80
 
3.2%
방어진순환도로 64
 
2.5%
일산동 42
 
1.7%
서부동 38
 
1.5%
동부동 25
 
1.0%
Other values (512) 1066
42.2%
2024-03-15T07:50:38.568135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2287
18.9%
동 973
 
8.1%
산 501
 
4.2%
1 458
 
3.8%
시 449
 
3.7%
울 449
 
3.7%
) 447
 
3.7%
( 447
 
3.7%
광 442
 
3.7%
구 442
 
3.7%
Other values (210) 5174
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7045
58.4%
Space Separator 2287
 
18.9%
Decimal Number 1577
 
13.1%
Close Punctuation 447
 
3.7%
Open Punctuation 447
 
3.7%
Other Punctuation 221
 
1.8%
Dash Punctuation 22
 
0.2%
Uppercase Letter 22
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 973
 
13.8%
산 501
 
7.1%
시 449
 
6.4%
울 449
 
6.4%
광 442
 
6.3%
구 442
 
6.3%
역 441
 
6.3%
길 246
 
3.5%
어 213
 
3.0%
방 212
 
3.0%
Other values (184) 2677
38.0%
Decimal Number
ValueCountFrequency (%)
1 458
29.0%
2 193
12.2%
0 187
11.9%
5 137
 
8.7%
4 125
 
7.9%
3 123
 
7.8%
6 102
 
6.5%
7 94
 
6.0%
8 79
 
5.0%
9 79
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
50.0%
A 4
 
18.2%
P 2
 
9.1%
T 1
 
4.5%
E 1
 
4.5%
K 1
 
4.5%
R 1
 
4.5%
I 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 219
99.1%
/ 1
 
0.5%
' 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 447
100.0%
Open Punctuation
ValueCountFrequency (%)
( 447
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7044
58.4%
Common 5002
41.4%
Latin 22
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 973
 
13.8%
산 501
 
7.1%
시 449
 
6.4%
울 449
 
6.4%
광 442
 
6.3%
구 442
 
6.3%
역 441
 
6.3%
길 246
 
3.5%
어 213
 
3.0%
방 212
 
3.0%
Other values (183) 2676
38.0%
Common
ValueCountFrequency (%)
2287
45.7%
1 458
 
9.2%
) 447
 
8.9%
( 447
 
8.9%
. 219
 
4.4%
2 193
 
3.9%
0 187
 
3.7%
5 137
 
2.7%
4 125
 
2.5%
3 123
 
2.5%
Other values (8) 379
 
7.6%
Latin
ValueCountFrequency (%)
B 11
50.0%
A 4
 
18.2%
P 2
 
9.1%
T 1
 
4.5%
E 1
 
4.5%
K 1
 
4.5%
R 1
 
4.5%
I 1
 
4.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7044
58.4%
ASCII 5024
41.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2287
45.5%
1 458
 
9.1%
) 447
 
8.9%
( 447
 
8.9%
. 219
 
4.4%
2 193
 
3.8%
0 187
 
3.7%
5 137
 
2.7%
4 125
 
2.5%
3 123
 
2.4%
Other values (16) 401
 
8.0%
Hangul
ValueCountFrequency (%)
동 973
 
13.8%
산 501
 
7.1%
시 449
 
6.4%
울 449
 
6.4%
광 442
 
6.3%
구 442
 
6.3%
역 441
 
6.3%
길 246
 
3.5%
어 213
 
3.0%
방 212
 
3.0%
Other values (183) 2676
38.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
울산광역시 동구청 경제진흥과
581 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 동구청 경제진흥과
2nd row울산광역시 동구청 경제진흥과
3rd row울산광역시 동구청 경제진흥과
4th row울산광역시 동구청 경제진흥과
5th row울산광역시 동구청 경제진흥과

Common Values

ValueCountFrequency (%)
울산광역시 동구청 경제진흥과 581
100.0%

Length

2024-03-15T07:50:38.789998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:50:39.023346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 581
33.3%
동구청 581
33.3%
경제진흥과 581
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
052-209-3524
581 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-209-3524
2nd row052-209-3524
3rd row052-209-3524
4th row052-209-3524
5th row052-209-3524

Common Values

ValueCountFrequency (%)
052-209-3524 581
100.0%

Length

2024-03-15T07:50:39.351489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T07:50:39.658481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-209-3524 581
100.0%

Interactions

2024-03-15T07:50:28.292314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T07:50:39.868469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분
연번1.0000.784
소매인구분0.7841.000
2024-03-15T07:50:40.098921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분
연번1.0000.664
소매인구분0.6641.000

Missing values

2024-03-15T07:50:28.581953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T07:50:28.789354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번소매인구분업소명업소지번주소업소도로명주소관리기관명관리기관전화번호
01제7조의3제2항에따른경우씨유화정쟈스민점울산광역시 동구 화정동 855-20울산광역시 동구 양지5길 2 (화정동)울산광역시 동구청 경제진흥과052-209-3524
12제7조의3제2항에따른경우지에스(GS)25방어스페셜점울산광역시 동구 방어동 1005-8울산광역시 동구 문현로 84. 1층 (방어동)울산광역시 동구청 경제진흥과052-209-3524
23제7조의3제2항에따른경우제이제이할인마트울산광역시 동구 방어동 473-1울산광역시 동구 화진4가길 20. 1층 (방어동)울산광역시 동구청 경제진흥과052-209-3524
34제7조의3제2항에따른경우GS25 일산샤인점울산광역시 동구 일산동 975-1울산광역시 동구 해수욕장10길 54 (일산동)울산광역시 동구청 경제진흥과052-209-3524
45제7조의3제2항에따른경우씨유 전하아이파크점울산광역시 동구 전하동 640-1 전하I'PARK울산광역시 동구 봉수로 270. 제지4층 제101호 (전하동. 전하I'PARK)울산광역시 동구청 경제진흥과052-209-3524
56제7조의3제2항에따른경우이마트24 울산양지바른점울산광역시 동구 화정동 852-7울산광역시 동구 양지5길 27. 1층 (화정동)울산광역시 동구청 경제진흥과052-209-3524
67제7조의3제2항에따른경우씨유울산학문로점울산광역시 동구 화정동 138-7울산광역시 동구 학문로 79-2 (화정동)울산광역시 동구청 경제진흥과052-209-3524
78제7조의3제2항에따른경우로또&마트울산광역시 동구 전하동 668-1울산광역시 동구 진성4길 5 (전하동)울산광역시 동구청 경제진흥과052-209-3524
89제7조의3제2항에따른경우씨유지웰자이1단지점울산광역시 동구 서부동 1049울산광역시 동구 서부로 50. 1층 112호 (서부동)울산광역시 동구청 경제진흥과052-209-3524
910제7조의3제2항에따른경우지에스(GS)25 방어소망점울산광역시 동구 방어동 1081-18울산광역시 동구 문재2길 71. 1층 (방어동)울산광역시 동구청 경제진흥과052-209-3524
연번소매인구분업소명업소지번주소업소도로명주소관리기관명관리기관전화번호
571571신광철물울산광역시 동구 화정동 860번지 21 호울산광역시 동구 월봉11길 8 (화정동)울산광역시 동구청 경제진흥과052-209-3524
572571성주슈퍼울산광역시 동구 화정동 846번지 17 호울산광역시 동구 양지6길 60 (화정동)울산광역시 동구청 경제진흥과052-209-3524
573571하나슈퍼울산광역시 동구 화정동 664번지 26 호울산광역시 동구청 경제진흥과052-209-3524
574571동울산슈퍼울산광역시 동구 화정동 642번지 18 호울산광역시 동구 화정7길 4 (화정동)울산광역시 동구청 경제진흥과052-209-3524
575571울산슈퍼울산광역시 동구 화정동 635번지 9 호울산광역시 동구 화정8길 62 (화정동)울산광역시 동구청 경제진흥과052-209-3524
576571화잠휴게실울산광역시 동구 방어동 465번지 10 호울산광역시 동구 북진1길 91 (방어동)울산광역시 동구청 경제진흥과052-209-3524
577571태양슈퍼울산광역시 동구 방어동 466번지 28 호울산광역시 동구 북진1길 102 (방어동)울산광역시 동구청 경제진흥과052-209-3524
578571영주슈퍼울산광역시 동구 남진길 38 (방어동)울산광역시 동구청 경제진흥과052-209-3524
579571방어진낚시울산광역시 동구 방어동 167번지 20 호울산광역시 동구 동진5길 76 (방어동)울산광역시 동구청 경제진흥과052-209-3524
580571해성철물울산광역시 동구 방어동 124-5호울산광역시 동구청 경제진흥과052-209-3524